Prime Solutions Group, Inc. · 1 day ago
Lead DevOps Engineer (AI/ML Ops)
Goodyear, AZ
Full-time
Hybrid
Senior Level, Lead/Staff
5+ years expPrime Solutions Group (PSG), Inc. is seeking a Lead DevOps Engineer (AI/ML Ops) to serve as a hybrid senior technical contributor and team leader. This role involves designing, implementing, and operating secure, automated machine learning and data pipelines across cloud and on-premise environments while ensuring compliance and performance of ML systems.
Information ServicesInformation TechnologySecuritySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Lead the design, implementation, and operation of ML-focused CI/CD pipelines supporting data ingestion, feature engineering, model training, evaluation, and deployment across dev, test, staging, and production environments
Apply and adapt MLOps best practices within existing DevSecOps workflows, including: Data quality checks and schema validation, Model validation and promotion gates, Model performance and drift monitoring
Architect and oversee training and inference platforms, including experiment tracking, model registries, and automated retraining pipelines
Oversee secure integration of Infrastructure-as-Code, containerization, and orchestration (Docker, Kubernetes) for ML and data workloads, including GPU and high-performance compute resources
Mentor and guide engineers in MLOps and DevSecOps practices, promoting automation, observability, and security-first design
Collaborate with cross-functional teams (data science, software engineering, research, IT, cybersecurity, systems engineering) to ensure ML system reliability, performance, and compliance
Lead technical risk assessments and contribute to incident response for ML and data systems (e.g., model degradation, data quality issues, pipeline failures)
Serve in a hybrid role as both: A senior hands-on engineer contributing to pipelines, infrastructure, and monitoring, A technical leader guiding small to mid-sized MLOps initiatives
Make informed technical decisions across ML, data, security, and operations domains, resolving complex multi-disciplinary challenges
Evaluate ethical and operational considerations in AI/ML deployment (e.g., bias, data constraints, mission risk) and recommend appropriate mitigations
Stay current on emerging MLOps, AI platform, and data engineering technologies, recommending adoption where beneficial
Qualification
Required
U.S. Citizenship
Active Top Secret clearance or higher
Bachelor's degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related field
5–9+ years of experience in one or more of the following: MLOps or ML platform engineering, DevOps / DevSecOps / SRE supporting data or ML workloads, Data engineering with production ML integration, Applied machine learning in production environments
Strong experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, CircleCI) and modern Git workflows
Hands-on experience with Infrastructure-as-Code (Terraform, Ansible, CloudFormation) and Kubernetes
Proficiency with ML and data technologies, including: Python and ML/data libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow), Workflow/orchestration tools (Airflow, Kubeflow, Prefect, Dagster), Experiment tracking and model registries (MLflow, Weights & Biases, SageMaker)
Experience integrating security and governance into ML environments (image/dependency scanning, SBOMs, secrets management, IAM)
Familiarity with NIST, FedRAMP, and DoD RMF compliance frameworks as applied to ML and data systems
Strong scripting or programming skills (Python, Bash, Go, or similar)
Demonstrated experience leading technical efforts and mentoring engineers
Ability to communicate clearly with both technical and non-technical stakeholders
Preferred
Security, cloud, or ML certifications (e.g., CISSP, AWS Security Specialty, AWS ML Specialty, CKS, GIAC)
Experience implementing Zero Trust architectures
Experience with observability and monitoring tools (Prometheus, Grafana, ELK/EFK, OpenTelemetry) for ML services
Hands-on experience with: Feature stores and data validation frameworks (e.g., Great Expectations), Data governance and lineage tooling, Policy-as-code for ML environments (OPA, Kyverno, admission controllers)
Prior experience supporting defense, aerospace, or government-secured AI/ML programs
Experience operating enterprise-scale or mission-critical ML systems, including high-availability inference and rigorous performance monitoring
Benefits
Competitive compensation and benefits
Professional development and tuition assistance
A collaborative, mission-driven culture
Direct impact on national security through secure AI/ML solutions
Company
Prime Solutions Group, Inc.
Prime Solutions Group, Inc (PSG) provides engineering services and software data processing products for remote sensing systems.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase